A Few-Shot Learning for Predicting Radar Receiver Interference Response Based on Distillation Meta-Learning
Establishing a behavioral model for radar equipment and ensuring the electromagnetic compatibility of radar systems in unmanned ship formations are essential for coordinated operations. Traditional radar receiver modeling methods based on supervised learning require complex models and large datasets...
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Main Authors: | Lingyun Zhang, Hui Tan, Mingliang Huang |
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Format: | Article |
Language: | English |
Published: |
IEEE
2024-01-01
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Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/10806651/ |
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